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Data Analyst with less than a year in SQL, Python & Power BI, focused on analytics and dashboarding.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with experience in SQL, Python, Power BI, and machine learning, focused on KPI analytics, retention analysis, business intelligence, and interactive dashboarding using SQL, Pandas, XGBoost, and Streamlit.
Ramaiah Institute of Technology, Bengaluru
Bachelor of Engineering · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
YBI Foundation
Data Analyst Intern
June 1, 2024 – December 1, 2024
India
Retail Revenue & Customer Intelligence Dashboard
June 28, 2026 – Present
Analyzed 3,900+ retail transactions using SQL and Power BI to evaluate revenue, customer retention, and product performance trends. Cleaned, transformed, and validated retail transaction data using SQL and Python to improve data quality and support accurate analytical reporting. Wrote 15+ production-style SQL queries using CTEs, Window Functions, Aggregations, and Ranking Functions for KPI reporting, retention analysis, and revenue intelligence. Developed an interactive Power BI dashboard with KPI cards, slicers, drill-through analysis, and revenue visualizations to support business decision-making.
View ProjectCustomer Retention & Risk Analytics Platform
June 28, 2026 – Present
Built an end-to-end customer risk analytics pipeline using Python and XGBoost by engineering 15+ behavioural features to identify high-risk customer cohorts and support retention-focused business strategies. Applied K-Means clustering to segment customers into behavioural cohorts for engagement analysis and targeted retention initiatives. Developed an interactive Streamlit dashboard to analyse churn probabilities, filter customer segments, and export business insights for reporting workflows.
View ProjectMicrosoft Power BI Data Analyst (PL-300)
Microsoft
June 1, 2026 – Present
Exploratory Data Analysis with Python
IBM Skills Network
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying data analysis techniques. The focus on customer intelligence and business impact aligns well with typical data analyst roles. However, the experience is primarily academic and internship-based, which might require additional mentorship to integrate into a fast-paced corporate environment. The certifications in progress show a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end analytical solutions, from data preparation to dashboarding. The internship experience suggests a capacity for automating workflows and delivering actionable insights. However, without psychometric or English test scores, it's difficult to assess stress handling, team collaboration, or communication clarity beyond written descriptions.